Solutions Architect, Observe

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake's Observe business unit delivers AI-powered observability at enterprise scale, unifying logs, metrics, and traces across petabytes of telemetry data into a single, trusted, Snowflake-native platform. As organizations shift from reactive monitoring to proactive, automated troubleshooting, the implementation experience becomes a critical driver of product value. Solutions Architects are the architectural foundation of the Observe post-sales practice. They bring deep platform and observability domain expertise to design durable, scalable architectures, ensuring every enterprise implementation starts with a sound technical foundation that Implementation Engineers (IEs) execute with confidence and customers build on for years. By owning the architecture layer, and establishing shared standards that demonstrate what great looks like, Solutions Architects multiply the effectiveness of the entire go-to-market team. This role is ideal for a technically exceptional practitioner who has moved beyond execution into architecture. Someone who can assess a complex enterprise environment, design an observability system built to scale, document it with precision, and hand it off with confidence.

Take an active role in technical discovery on SA-attached engagements, working in tandem with the Implementation Engineer to assess existing telemetry, infrastructure, data volumes, tooling landscape, and operational requirements Design end-to-end observability architectures on Observe, covering telemetry ingestion, pipeline topology, data modeling, enrichment and normalization strategies, alerting design, and long-term retention Define the implementation approach and architecture blueprint that Implementation Engineering teams execute against Validate that proposed configurations, pipelines, and data models will meet production-scale requirements before execution begins Advise customers on OpenTelemetry adoption strategies Have an active role in the architecture and planning phases of enterprise engagements, working in tandem with the IE from kickoff through handoff to dedicated IE team(s) Produce clear, high-quality handoff artifacts (e.g. reference architectures, design decision records, implementation plans, and configuration standards) Remain available to Implementation teams during execution for architectural blockers, scope changes, or decisions requiring architectural judgment Conduct formal go-live architecture reviews to validate that the implemented solution matches the designed architecture and is production-ready Design the target architecture and phased cutover strategy for complex migrations from existing observability platforms (e.g., Splunk, ELK, Datadog, Dynatrace, New Relic) onto Observe, minimizing disruption to production operations Identify architectural gaps, data quality risks, and technical debt in existing environments; design clean, scalable replacements where appropriate Partner with the Director of Implementation Engineering to develop and own internal reference architectures, design documents, runbooks, and implementation standards Build and maintain field demo infrastructure — realistic, production-grade environments that pre-sales and IE teams use to show customers what a well-architected Observe